Evidence map›Paper›PMID 38201613›Full record

ArticleCancers2023

The Use of Low-Dose Chest Computed Tomography for the Diagnosis and Monitoring of Pulmonary Infections in Patients with Hematologic Malignancies.

Efthimios Agadakos, Alexandra Zormpala, Nikolaos Zaios, Chrysoula Kapsiocha, Maria N Gamaletsou, Michael Voulgarelis, Nikolaos V Sipsas, Lia Angela Moulopoulos, Vassilis Koutoulidis

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 60% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Efthimios AgadakosDepartment of Radiology, General Hospital of Athens Laiko, 11527 Athens, Greece.ORCID 0000-0002-5639-1210
Alexandra ZormpalaDepartment of Radiology, General Hospital of Athens Laiko, 11527 Athens, Greece.
Nikolaos ZaiosFirst Department of Radiology, School of Medicine, Areteion Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece.
Chrysoula KapsiochaDepartment of Radiology, General Hospital of Athens Laiko, 11527 Athens, Greece.
Maria N GamaletsouDepartment of Pathophysiology, General Hospital of Athens Laiko, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Michael VoulgarelisDepartment of Pathophysiology, General Hospital of Athens Laiko, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Nikolaos V SipsasDepartment of Pathophysiology, General Hospital of Athens Laiko, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.ORCID 0000-0001-6955-3453
Lia Angela MoulopoulosFirst Department of Radiology, School of Medicine, Areteion Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece.
Vassilis KoutoulidisFirst Department of Radiology, School of Medicine, Areteion Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece.
National and Kapodistrian University of Athens · GRLaiko General Hospital of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to assess the image quality and diagnostic performance of low-dose Chest Computed Tomography (LDCCT) in detecting pulmonary infections in patients with hematologic malignancies. A total of 164 neutropenic patients underwent 256 consecutive CT examinations, comparing 149 LDCCT and 107 Standard-Dose Chest CT (SDCCT) between May 2015 and June 2019. LDCCT demonstrated a 47% reduction in radiation dose while maintaining acceptable image noise and quality compared to SDCCT. However, LDCCT exhibited lower sensitivity in detecting consolidation (27.5%) and ground glass opacity (64.4%) compared to SDCCT (45.8% and 82.2%, respectively) with all the respective

Indexed as

CT noise reduction algorithmsdiagnostic performancehematologic malignancieslow-dose chest CTlung abnormalitiesneutropenic patientsradiation dosestandard-dose chest CT

Identifiers

PMID38201613
PMCPMC10778314
OpenAlexW4390468388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.